Abstract:
An arousal level control apparatus calculates a setting value of a control device under a constraint condition using an arousal level optimization model so that a value of an objective function is maximized. The control device affects a physical quantity of a surrounding environment that affects arousal level of a subject. The arousal level optimization model includes the constraint condition and the objective function. The constraint condition includes a physical quantity prediction model, an arousal level prediction model, and a setting value range condition that the setting value is within a predetermined range. The physical quantity prediction model is an explicit function that includes the physical quantity and the setting value as explanatory variables and has a predicted value of the physical quantity as an explained variable.
Abstract:
An arousal level control apparatus calculates a setting value of a control device under a constraint condition using an arousal level optimization model so that a value of an objective function is maximized. The control device affects a physical quantity of a surrounding environment that affects arousal level of a subject. The arousal level optimization model includes the constraint condition and the objective function. The constraint condition includes a physical quantity prediction model, an arousal level prediction model, and a setting value range condition that the setting value is within a predetermined range. The physical quantity prediction model is an explicit function that includes the physical quantity and the setting value as explanatory variables and has a predicted value of the physical quantity as an explained variable.
Abstract:
An air conditioning system control device 10 includes: a switching unit 11 that, when a parameter relating to the indoor environment in which the air conditioning system operates does not satisfy a first condition while the air conditioning system is operating in a first operation mode that is an operation mode in which setting values computed on the basis of a prediction model are used as the setting values for the air conditioning system, switches the operation mode of the air conditioning system to a second operation mode that is an operation mode in which the computed setting values are not used as the setting values for the air conditioning system.
Abstract:
A controller has: risk information acquisition means for acquiring risk information on a power transmission and distribution section formed by two power routers being connected to each other; and control instruction means for calculating a risk score of the power transmission and distribution section based on the risk information, deciding a power transmission and distribution route including the one or more power transmission and distribution sections based on the risk score, and transmitting a control instruction based on the power transmission and distribution route to the power router. The power router has: transmitting and receiving means for outputting input electric power to the one or more power transmission and distribution sections; and transmitting and receiving control means for controlling the output of the transmitting and receiving means according to the control instruction.
Abstract:
An arousal level control apparatus calculates a setting value of a control device under a constraint condition using an arousal level optimization model so that a value of an objective function is maximized. The control device affects a physical quantity of a surrounding environment that affects arousal level of a subject. The arousal level optimization model includes the constraint condition and the objective function. The constraint condition includes a physical quantity prediction model, an arousal level prediction model, and a setting value range condition that the setting value is within a predetermined range. The physical quantity prediction model is an explicit function that includes the physical quantity and the setting value as explanatory variables and has a predicted value of the physical quantity as an explained variable.
Abstract:
An arousal level control apparatus calculates a setting value of a control device under a constraint condition using an arousal level optimization model so that a value of an objective function is maximized. The control device affects a physical quantity of a surrounding environment that affects arousal level of a subject. The arousal level optimization model includes the constraint condition and the objective function. The constraint condition includes a physical quantity prediction model, an arousal level prediction model, and a setting value range condition that the setting value is within a predetermined range. The physical quantity prediction model is an explicit function that includes the physical quantity and the setting value as explanatory variables and has a predicted value of the physical quantity as an explained variable.
Abstract:
A motion plan device 10X mainly includes a condition setting means 90X and a motion plan means 100X. The condition setting means 90X sets a first condition in which a robot performing a pick-and-place for one or more transport objects and the one or more transport objects are located inside movable region being a region where no collision with a collision avoidance necessary target occurs, and a second condition in which, while the robot is grasping and carrying the transport object, the movable region around the collision avoidance necessary target of the robot and the movable region around the collision avoidance necessary target of the transport object being carried match with each other. Next, the motion plan means 100X calculates a motion plan of the robot based on the first condition and the second condition.
Abstract:
An arousal level control apparatus calculates a setting value of a control device under a constraint condition using an arousal level optimization model so that a value of an objective function is maximized. The control device affects a physical quantity of a surrounding environment that affects arousal level of a subject. The arousal level optimization model includes the constraint condition and the objective function. The constraint condition includes a physical quantity prediction model, an arousal level prediction model, and a setting value range condition that the setting value is within a predetermined range. The physical quantity prediction model is an explicit function that includes the physical quantity and the setting value as explanatory variables and has a predicted value of the physical quantity as an explained variable.
Abstract:
An arousal level control apparatus calculates a setting value of a control device under a constraint condition using an arousal level optimization model so that a value of an objective function is maximized. The control device affects a physical quantity of a surrounding environment that affects arousal level of a subject. The arousal level optimization model includes the constraint condition and the objective function. The constraint condition includes a physical quantity prediction model, an arousal level prediction model, and a setting value range condition that the setting value is within a predetermined range. The physical quantity prediction model is an explicit function that includes the physical quantity and the setting value as explanatory variables and has a predicted value of the physical quantity as an explained variable.
Abstract:
There is provided a thermal model creation device capable of creating a highly accurate thermal model. A constraint-condition setting means 72 sets constraint conditions of parameters in the thermal model. A parameter determination means 73 determines all unknown values of parameters in the thermal model under the constraint conditions.